Abstract

These data were collected using the National Electronic
Injury Surveillance System (NEISS), the primary data system of the
United States Consumer Product Safety Commission (CPSC). CPSC began
operating NEISS in 1972 to monitor product-related injuries treated in
United States hospital emergency departments (EDs). In June 1992, the
National Center for Injury Prevention and Control (NCIPC), within the
Centers for Disease Control and Prevention, established an interagency
agreement with CPSC to begin collecting data on nonfatal
firearm-related injuries in order to monitor the incidents and the
characteristics of persons with nonfatal firearm-related injuries
treated in United States hospital EDs over time. This dataset
represents all nonfatal firearm-related injuries (i.e., injuries
associated with powder-charged guns) and all nonfatal BB and pellet
gun-related injuries reported through NEISS from 1993 through
2012. The cases consist of initial ED visits for treatment of the
injuries. Cases were reported even if the patients subsequently died.
Secondary visits and transfers from other hospitals were excluded.
Information is available on injury diagnosis, firearm type, use of
drugs or alcohol, criminal incident, and locale of the
incident. Demographic information includes age, sex, and race of the
injured person.

Methods

ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of
disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major
statistical software formats as well as standard codebooks to accompany the data. In addition to
these procedures, ICPSR performed the following processing steps for this data collection:
Created variable labels and/or value labels.; Checked for undocumented or out-of-range codes..

Abstract

Datasets:

DS1: Dataset

Temporal Coverage

Time period: 1993--2012

1993
/ 2012

Collection date: 1993--2012

1993
/ 2012

Geographic Coverage

United States

Sampled Universe

United States hospitals providing emergency services.

Sampling

The sample design of NEISS is a stratified, probability
sample of all United States hospitals that had at least six beds and provided 24-hour emergency services. There were four hospital-sized strata (defined as very large, large, medium, and small, based on the number of annual ED visits) and one children's hospital stratum. From 1993 through 1996, there were 91 NEISS hospital EDs in the sample. In
1997, the sampling frame was updated so that in 1997 through 1999 the sample included 101 NEISS hospital EDs. In 2000-2001, one NEISS hospital dropped out of the system, so there were 100 NEISS hospital EDs in the sample. In 2002, another hospital dropped out of the system, so there were 99 NEISS hospital EDs in the sampling frame. In 1997, CPSC collected firearm-related cases using the "old" and "new"
NEISS hospital samples for a nine-month period. This dataset includes data from the "new" sample. The overlapping "old" sample is not included. Comparisons of weighted estimates based on the "old" and "new" samples indicated a difference of about 1 percent in the overall
national estimate using these samples. The characteristics of firearm-related cases from these two overlapping samples were also very similar.

Collection Mode

computer-assisted self interview (CASI)

self-enumerated questionnaire

Note

2018-11-29 Case counts have been corrected in the documentation.2015-10-08 A minor change is made to the codebook. Funding institution(s): United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Injury Prevention and Control.

Availability

Download

This study is freely available to the general public via web download.

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United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Injury Prevention and Control
(2015):
Firearm Injury Surveillance Study, 1993-2012. Version 2.
National Electronic Injury Surveillance System (NEISS) Series.
Version:
v2.
ICPSR - Interuniversity Consortium for Political and Social Research.Dataset.https://doi.org/10.3886/ICPSR36290.v2